Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs

Accurate modeling mechanisms play an important role in model-based diagnosis, and the bond graph modeling language has proved to be helpful for this task. In this paper we present an algorithm for automatically derive ARR-like structures, possible conflicts, from the bond graph model of a system. The algorithm uses temporal causal graphs as an intermediate structure to generate the set of possible conflicts. Performance of the algorithm for structural and sensor faults is then studied. Finally, we present another algorithm to automatically derive temporal information in the fault signature matrix for the set of possible conflicts, thus improving the isolation capabilities of the approach.